论文标题
最常见的N-K线路发生发生在可以改善意外选择的主题中
The most frequent N-k line outages occur in motifs that can improve contingency selection
论文作者
论文摘要
发生多个线路发生的多线路发生在电力传输网络中显示了各种空间模式。这些空间模式中的一些形成了网络应变基序，我们将其定义为多次中断的模式，这些模式比从网络中随机选择的多个断电更频繁地发生。我们表明，从这些常见发生的应急图案中选择N-K的意外情况是多数启动线路中断的概率的大部分概率。使用两个传输系统的历史停电数据证明了这一结果。它启用了N-K的应急列表，这些列表比详尽的清单或随机选择更有效地考虑了多个启动中断。根据基序构建的N-K应急列表可以改善级联停电模拟中的风险估计，并有助于确认效用偶然性选择。
Multiple line outages that occur together show a variety of spatial patterns in the power transmission network. Some of these spatial patterns form network contingency motifs, which we define as the patterns of multiple outages that occur much more frequently than multiple outages chosen randomly from the network. We show that choosing N-k contingencies from these commonly occurring contingency motifs accounts for most of the probability of multiple initiating line outages. This result is demonstrated using historical outage data for two transmission systems. It enables N-k contingency lists that are much more efficient in accounting for the likely multiple initiating outages than exhaustive listing or random selection. The N-k contingency lists constructed from motifs can improve risk estimation in cascading outage simulations and help to confirm utility contingency selection.
